Solutions Architect

Master Data Architect

Lead the evolution of our master data strategy through modernizing how customer and enterprise data is governed, trusted, and delivered. Establish and provide leadership on the technology strategy and roadmaps for the most strategic and complex business capability domains. Define architecture for solution at product level in line with architectural principles, apply industry best practices and design patterns to create scalable, secure solutions with superior technical performance. Map out technical integration points between systems. Provide input to systems implementation plans and processes and oversee product development, integration, testing, and launch. Provide insights into solution delivery plans based on technical timelines and dependencies. Balance competing priorities while adhering to deadlines and align architecture to achieve value delivery. Facilitate communication between technical teams and users of the solution. Help institute superior technology capabilities with diligence, attention to detail and technical acumen. Design and document the overall system architecture, including data flows, integration points, and component dependencies. Contribute to editing and publishing of external-facing whitepapers, artifacts, case studies, architectural blueprints, blog posts, and articles for technical/industry publications. Stay updated with industry trends, emerging technologies, and best practices related to solution architecture, data management, and observability. Domestic travel required up to 10% Telecommuting permitted up to 60%

Qualifications

Employer will accept a Bachelor's degree (or foreign equivalent) in Computer Science, Information Systems, or related field and 15 years of experience in the job offered or in a Solutions Architect-related occupation.

Position requires two years of experience in solution engineering, system design, and data management.Position requires demonstrable experience in the following:

• Data modeling, ETL processes, and data integration techniques.
• Monitoring and observability tools like Splunk, Datadog, or New Relic.
• Demonstrated ability to articulate architecture designs and technical approaches.
• Cloud computing platforms and containerization technologies including AWS and Informatica MDM or Reltio MDM.
• Agile development methodologies and project management practices.
• Demonstrated ability to translate business needs into software solutions.
• Writing code, debugging, testing, and deploying cloud native (AWS) software applications.
• MDM Architecture and MDM Platforms integrations.
• Utilizing contemporary frameworks and emerging technologies.
• Data Modeling and Data quality and governance.
• Negotiation, facilitation, consensus building and influencing capabilities.
• Data Integration and ETL including Informatica ETL.
• Demonstrated ability to identify patterns and problems across teams and deliver effective solutions.
• Data Analysis and Profiling.
• Experience with CI/CD pipelines and continuous testing.
• Experience with application observability tools including DataDog.
• Architecture and integration with API and event-based solutions.
• Technical Proficiency including knowledge for databases, data warehousing, PL-SQL, and REST APIs.

Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available.